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datasets:
  - roneneldan/TinyStories
metrics:
  - glue
  - super_glue
---
Basemodel: GPT-Neo
Configs:
  Vocab size: 10,000
  Hidden size: 512
  Max position embeddings: 512
  Number of layers: 2
  Number of heads: 4
  Window size: 256
  Intermediate-size: 1024

Results:
  - Task: glue
    Score: 59.05
    Confidence Interval: [58.4, 59.63]
  - Task: blimp
    Score: 57.25
    Confidence Interval: [56.43, 58.2]